This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AWS Cloud Data Engineer based in the United States.
This is an exciting opportunity for a cloud and data engineering professional to design and build scalable AWS-based data solutions that drive business intelligence and operational excellence. In this role, you will play a key part in developing robust data pipelines, modernizing cloud infrastructure, and enabling data-driven decision-making across multiple products and teams. Working in a collaborative and fast-paced environment, you will combine expertise in cloud technologies, data architecture, and DevOps practices to create secure, high-performing solutions. The position offers broad exposure to modern AWS services, infrastructure automation, and enterprise-scale analytics initiatives, while providing opportunities to influence technical strategy and establish best practices across the organization.
Accountabilities:
- Serve as a shared technical resource across product teams, providing expertise in data integration, data modeling, analytics, and cloud infrastructure design.
- Design, develop, and maintain scalable data pipelines using AWS technologies such as AWS Glue, Amazon Kinesis, and related services.
- Build and manage cloud-native data storage solutions utilizing Amazon S3, Redshift, RDS, DynamoDB, and other AWS-managed databases.
- Develop and maintain Infrastructure-as-Code (IaC) frameworks using tools such as AWS CloudFormation or AWS CDK to support scalable and repeatable deployments.
- Design and implement CI/CD pipelines that automate application builds, testing, code quality checks, and deployment processes.
- Deploy, monitor, and optimize AWS infrastructure resources to ensure performance, reliability, and scalability across products and environments.
- Implement centralized logging, monitoring, and observability solutions to provide real-time visibility and facilitate troubleshooting.
- Optimize ETL workflows and data processing frameworks to efficiently manage large and diverse datasets.
- Establish and maintain secure AWS environments through IAM policies, role management, and adherence to security best practices.
- Create technical documentation and deliver knowledge-sharing initiatives to support user adoption and operational excellence.
- Evaluate emerging AWS technologies and recommend improvements to continuously enhance the organization's cloud and data ecosystem.
- Ensure all solutions comply with security standards and industry best practices, including OWASP Top 10, CWE Top 25, and CIS AWS Foundations Benchmark guidelines.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Economics, or a related technical field, or equivalent professional experience.
- Minimum of 5 years of relevant experience in data engineering, cloud engineering, or related technical disciplines.
- Proven experience designing and implementing large-scale data projects and cloud-based data architectures.
- Strong expertise with AWS services including AWS Glue, Kinesis, S3, Redshift, RDS, DynamoDB, IAM, and related cloud technologies.
- Hands-on experience with Infrastructure-as-Code tools such as AWS CloudFormation or AWS CDK.
- Solid understanding of CI/CD practices, DevOps methodologies, and automated testing frameworks.
- Experience developing and optimizing ETL processes and managing data integration across multiple systems.
- Strong analytical and problem-solving skills with the ability to translate technical requirements into scalable solutions.
- Excellent written and verbal communication skills, including technical documentation and stakeholder engagement.
- Demonstrated ability to collaborate effectively with cross-functional teams and manage multiple priorities in fast-paced environments.
- Self-motivated and capable of working independently while maintaining high standards of quality and accountability.
- Knowledge of cloud security principles and experience implementing secure architectures and governance frameworks.
- Ability to pass background investigations and maintain compliance with organizational requirements.
Benefits
- Opportunity to work on innovative, cloud-first data initiatives with significant business impact.
- Exposure to modern AWS technologies, enterprise-scale analytics environments, and advanced cloud engineering practices.
- Collaborative and technology-driven culture that encourages innovation, continuous learning, and professional growth.
- Opportunities to influence technical strategy and establish engineering best practices across multiple product teams.
- Career development opportunities through exposure to diverse projects and emerging cloud technologies.
- Competitive compensation package aligned with experience and expertise.
- Comprehensive employee benefits package, including healthcare and additional wellness programs in accordance with company policies.
- Stable and supportive work environment with strong emphasis on teamwork, customer success, and technical excellence.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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